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Multiple Methods Based Resource Allocation Optimization of Jamming System for UAV Clusters

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to study the jamming resource allocation problem of UAV clusters to radar clusters and to maximize the utilization of jamming resources, we established a cooperative jamming suppression effectiveness model with clear constraints and suitable optimization objective functions. We simulated the allocation of jammer resources, basing on radar threat level and jamming effectiveness matrix with the objective of maximizing jamming effectiveness to radar clusters, using intlinprog function, improved PSO and GA, which adopts traversable boundary and binary coding mode respectively. The simulation results showed that the expected effectiveness on jamming resource allocation can be achieved by both improved algorithms.

Original languageEnglish
Title of host publicationProceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022
EditorsRong Song
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages867-872
Number of pages6
ISBN (Electronic)9781665484565
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Unmanned Systems, ICUS 2022 - Guangzhou, China
Duration: 28 Oct 202230 Oct 2022

Publication series

NameProceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022

Conference

Conference2022 IEEE International Conference on Unmanned Systems, ICUS 2022
Country/TerritoryChina
CityGuangzhou
Period28/10/2230/10/22

Keywords

  • genetic algorithm
  • jamming effectiveness
  • particle swarm algorithm
  • resource allocation
  • unmanned jamming system

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